Title: Mid-Level Software Engineer, Full Stack and Generative AI

Location: Rockville, MD (Hybrid)

Duration: 6+ months contract

There will be only one and done F2F interview.

Need only local candidates with LinkedIn

If the person is not available currently at Rockville then please don't submit as they fetch the live location in Assessment test.

Required Assessment before submission and Direct Onsite Interview on May 27th 

Need around 5 to 8 years of experience not more than that.

Overview

• Design and develop scalable full stack applications with Angular frontends and microservices-based backends
• Build secure, high-performance RESTful and GraphQL APIs using modern backend frameworks such as Java/Spring Boot and Python/FastAPI
• Develop responsive and accessible user interfaces using Angular and TypeScript
• Collaborate with cross-functional teams including data engineering, security, and business stakeholders to translate business requirements into technical solutions
• Utilize AI-assisted development tools responsibly while maintaining code quality and security best practices

Generative AI Integration

• Implement Generative AI solutions including LLM integrations, prompt engineering, and Retrieval-Augmented Generation (RAG) pipelines
• Partner with data science and engineering teams to integrate ML models and support model serving infrastructure
• Promote responsible AI practices including human oversight, validation, and bias monitoring

CI/CD & Infrastructure

• Design and maintain CI/CD pipelines using tools such as Jenkins
• Implement infrastructure-as-code and containerized deployments using Docker and Kubernetes
• Integrate automated testing, security scanning, and quality assurance into deployment pipelines

Technical Leadership

• Provide mentorship and technical guidance to junior engineers through code reviews and collaborative development
• Contribute to architecture discussions, engineering standards, and best practices
• Ensure systems align with enterprise security, compliance, audit, and governance standards

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field
• 5–7 years of professional software engineering experience
• Strong proficiency in Python and/or Java backend development
• 3+ years of hands-on experience with Angular, TypeScript, RxJS, and state management frameworks such as NgRx
• Experience designing and implementing RESTful APIs and/or GraphQL services
• Hands-on experience with AWS services including Lambda, ECS/EKS, API Gateway, S3, RDS, and DynamoDB
• Experience with containerization technologies such as Docker and Kubernetes
• Proficiency with relational and NoSQL databases including PostgreSQL, MongoDB, and DynamoDB
• Strong understanding of application security principles including OWASP Top 10, secrets management, and least-privilege access
• At least 1 year of experience working with LLMs, prompt engineering, embedding models, or platforms such as OpenAI, Anthropic, or AWS Bedrock